Have a personal or library account? Click to login
LSTM-Based Discrimination of Date Fruit (Phoenix dactylifera L.) Based on Selected Convolutional Neural Network Features Cover

LSTM-Based Discrimination of Date Fruit (Phoenix dactylifera L.) Based on Selected Convolutional Neural Network Features

Acta Universitatis Cibiniensis. Series E: Food Technology
Volume 28 (2024): Issue 2 (December 2024)
By: Younés Noutfia,  Kadir Sabanci,  Muhammet Fatih Aslan and  Ewa Ropelewska  
Open Access
|Feb 2025
DOI: https://doi.org/10.2478/aucft-2024-0015 | Journal eISSN: 2344-150X | Journal ISSN: 2344-1496
Journal RSS Feed
Language: English
Page range: 183 - 194
Submitted on: Sep 18, 2024
|
Accepted on: Dec 20, 2024
|
Published on: Feb 15, 2025
Published by: Lucian Blaga University of Sibiu
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Mejhoul,
date cultivar,
Classification,
Convolutional Neural Network,
Feature Selection,
Long short-term memory
Related subjects:
Industrial chemistry,
Industrial chemistry, other,
Food science and technology

© 2025 Younés Noutfia, Kadir Sabanci, Muhammet Fatih Aslan, Ewa Ropelewska, published by Lucian Blaga University of Sibiu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 28 (2024): Issue 2 (December 2024)Next article